A comprehensive study of socioeconomic factors affecting the situation of children and families with children in the constituent entities of the Russian Federation is a social requirement and an important scientific problem. In this paper, a method for estimating the child well-being index based on the threshold indicator aggregation model is considered. Three ways of ranking the indicators are presented. The results of the pilot experiments are shown in the cartogram of the constituent entities of the Russian Federation.

This paper describes a fully autonomous decentralized method for synchronizing the interaction of vehicles moving on a highway. The method synchronizes the vehicles using sim- ultaneous signal transmission from a group of transmitters to a group of receivers. With this feature, data exchange speed is increased, and the computing abilities of vehicles are connected into a moving computing cluster. The autonomous system operates without external controllers. Due to decentralization, the group of vehicles implements the synchronization process without any system control center. The group members interconnect via wireless optical and radio communication channels. There are two interacting stages of the synchronization process. The first stage is intended to perform decentralized coordination and information exchange within the group and determine the location, speed, and motion direction of the group members. The first stage passes initial information to the second stage. The second stage provides much more accurate vehicle tracking data and simultaneous information exchange between the groups of transmitters and receivers. Message transmission is synchronized very precisely (up to a single bit). In particular, necessary information about n vehicles is quickly acquired and transmitted to all receivers using one common message containing no more than n digits. Thus, the provided solution allows collecting the necessary information for vehicle coordination on highway sections, combining every vehicle’s computing capability into one mobile computing cluster.

Исследуется задача $1||\sum w_jC_j$: имеются один прибор и множество $J=\{1,2,...,n\}$ из $n$ требований, которые необходимо обслужить на приборе. Для каждого требования $j \in J$ заданы длительности обслуживания $p_j$. Отношения предшествования отсутствуют (не накладывается ограничений на очередность обслуживания требований), прерывания в обслуживании требований и искусственные простои прибора запрещены. Расписание $\pi$ однозначно задаётся порядком обслуживания требований ($j_1,\ldots,j_n$). В задаче $1||\sum w_jC_j$ необходимо найти расписание $\pi^0$, минимизирующее суммарное взвешенное время завершения обслуживания требований $\sum w_jC_j$, где $C_j$ - момент окончания обслуживания требования $j$, а $w_j>0$ весовой коэффициент соответствующего времени завершения обслуживания.

Abstract—An asynchronous multi-agent multisorted system (AMMS) is a network of threshold elements (agents) operating in continuous time. The agents are either active or passive. When active, an agent generates a signal of certain type (color). The signal is perceived by all agents with inputs of the same color. The agent has a potential that changes under the exciting or inhibitory effect of signals; it is active only if its potential exceeds the threshold. Changes in the agent activity are events that break the timeline into clock periods—time intervals within which the state of the system does not change. The sequence of states of a system is called its behavior. The dependence of the autonomous network behavior on the network parameter values is studied.

Предложена архитектура нейронной сети для решения задачи визуальной одометрии. Обучение сети осуществляется на основе данных, собранных в виртуальной среде. На вход системы поступают два последовательных видеокадра. На выходе формируется вектор параметров движения, содержащий информацию о линейных и угловых скоростях робота.